{"schemaVersion":"jobsearcher.job.v1","id":"ec2cd6f17cc98ca548e23dd3","url":"https://jobsearcher.com/jobs/ec2cd6f17cc98ca548e23dd3","canonicalUrl":"https://jobsearcher.com/jobs/ec2cd6f17cc98ca548e23dd3","title":"GCP Data Engineer","description":"We are looking for an experienced GCP Data Engineer to build and maintain scalable cloud-based data pipelines and data processing solutions on Google Cloud Platform. The candidate will work with large datasets, develop ETL/ELT workflows, optimize data warehouses, and support analytics and business intelligence initiatives.\r\nTechnical Skills:Strong experience with Google Cloud Platform (GCP) data services.\r\nHands-on experience withBigQuery, including SQL optimization, partitioning, clustering, and cost management.\r\nStrong programming skills in Python and advanced SQL.\r\nExperience developing data pipelines usingCloud Dataflow and Apache Beam.\r\nExperience withCloud Composer (Apache Airflow)for workflow orchestration.\r\nKnowledge ofPub/Subfor real-time data ingestion and event-driven processing.\r\nExperience with Cloud Storage, Dataproc, and Spark for batch processing.\r\nUnderstanding of data modeling, dimensional modeling, and data warehouse architecture.\r\nExperience with ETL/ELT development, data transformation, and data quality validation.\r\nKnowledge of IAM, service accounts, encryption, and GCP security best practices.\r\nFamiliarity with Git, CI/CD, and infrastructure automation.\r\nRoles and ResponsibilitiesDesign and implement scalable batch and streaming data pipelines on GCP.\r\nBuild ingestion frameworks to load data from APIs, databases, files, and streaming sources into BigQuery.\r\nDevelop data transformation logic using SQL, Python, Apache Beam, and Spark where appropriate.\r\nCreate and maintain BigQuery datasets, tables, views, and optimized analytical data models.\r\nOrchestrate and monitor workflows using Cloud Composer and Airflow DAGs.\r\nImplement real-time processing solutions using Pub/Sub and Dataflow.\r\nOptimize query performance, storage usage, and cloud infrastructure costs.\r\nBuild data quality checks, reconciliation processes, and pipeline failure recovery mechanisms.\r\nIntegrate data from enterprise systems, cloud applications, and on-premises sources.\r\nImplement data access controls, governance, lineage, and security policies.\r\nConfigure logging, monitoring, alerting, and troubleshooting for production pipelines.\r\nCollaborate with data architects, analysts, BI developers, and machine learning teams.\r\nMaintain technical documentation and support production releases.\r\nWe are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.#J-18808-Ljbffr","company":"Quantum Technologies","rawCompany":"quantum technologies","city":"Tampa","state":"FL","isRemote":false,"isActive":false,"createdAt":"2026-11-06T01:43:11.848Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"GCP Data Engineer","description":"We are looking for an experienced GCP Data Engineer to build and maintain scalable cloud-based data pipelines and data processing solutions on Google Cloud Platform. The candidate will work with large datasets, develop ETL/ELT workflows, optimize data warehouses, and support analytics and business intelligence initiatives.\r\nTechnical Skills:Strong experience with Google Cloud Platform (GCP) data services.\r\nHands-on experience withBigQuery, including SQL optimization, partitioning, clustering, and cost management.\r\nStrong programming skills in Python and advanced SQL.\r\nExperience developing data pipelines usingCloud Dataflow and Apache Beam.\r\nExperience withCloud Composer (Apache Airflow)for workflow orchestration.\r\nKnowledge ofPub/Subfor real-time data ingestion and event-driven processing.\r\nExperience with Cloud Storage, Dataproc, and Spark for batch processing.\r\nUnderstanding of data modeling, dimensional modeling, and data warehouse architecture.\r\nExperience with ETL/ELT development, data transformation, and data quality validation.\r\nKnowledge of IAM, service accounts, encryption, and GCP security best practices.\r\nFamiliarity with Git, CI/CD, and infrastructure automation.\r\nRoles and ResponsibilitiesDesign and implement scalable batch and streaming data pipelines on GCP.\r\nBuild ingestion frameworks to load data from APIs, databases, files, and streaming sources into BigQuery.\r\nDevelop data transformation logic using SQL, Python, Apache Beam, and Spark where appropriate.\r\nCreate and maintain BigQuery datasets, tables, views, and optimized analytical data models.\r\nOrchestrate and monitor workflows using Cloud Composer and Airflow DAGs.\r\nImplement real-time processing solutions using Pub/Sub and Dataflow.\r\nOptimize query performance, storage usage, and cloud infrastructure costs.\r\nBuild data quality checks, reconciliation processes, and pipeline failure recovery mechanisms.\r\nIntegrate data from enterprise systems, cloud applications, and on-premises sources.\r\nImplement data access controls, governance, lineage, and security policies.\r\nConfigure logging, monitoring, alerting, and troubleshooting for production pipelines.\r\nCollaborate with data architects, analysts, BI developers, and machine learning teams.\r\nMaintain technical documentation and support production releases.\r\nWe are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.#J-18808-Ljbffr","datePosted":"2026-11-06T01:43:11.848Z","dateModified":"2026-11-06T01:43:11.848Z","hiringOrganization":{"@type":"Organization","name":"Quantum Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tampa","addressRegion":"FL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ec2cd6f17cc98ca548e23dd3"},"url":"https://jobsearcher.com/jobs/ec2cd6f17cc98ca548e23dd3"}}